Abstract: A system may include one or more processors configured to receive a set of data containing relational database metadata, model data, and customer loan data, configure a first model and a second model based on the model data and the metadata, and partition, based on the relational database metadata, the customer loan data into first data and second data. The one or more processors may execute, by executing a first execution unit, execute the first model using the first data to output a first credit risk score, execute, by executing a second execution unit different from the first execution unit, the second model using the second data to output a second credit risk score, generate a third credit risk score based on the first credit risk score and the second credit risk score, and transmit a notification based on the third credit risk score.

Abstract: A system for processing data items may include one or more memories and one or more processors. The one or more memories may be configured in a first logical table including a plurality of logical rows and a plurality of logical columns. A value of a data item in a first logical column in each logical row may be determined based on a dependency of the first logical column on a second logical column in another logical row. The one or more processors may configure at least the first and second logical columns of the first logical table into a first logical array of data items, determine, by executing a first execution unit, values of the data items in the first logical array using the dependency, and convert, by executing the first execution unit, the first logical array with the determined values into a second logical table.